WOE_custom: Custom Binning Numeric Variables

In Rprofet: WOE Transformation and Scorecard Builder

Description

Function that bins a numeric variable based on user inputted breaks, plots the information on the new bins, and returns a vector of the newly binned values

Usage

WOE_custom(dataset, var, target, breaks, right_bracket = F, color = "#0066CC")

Arguments

dataset	Dataframe containing the target variable and desired numeric variables to be binned.
var	A specific numeric attribute to be binned. Must be specified.
target	A binary target variable. Must be specified.
breaks	A vector of breakpoints for the desired bins. Must be specified.
right_bracket	Logical. Specifying whether the intervals are closed on the right or the left.
color	A hexadecimal value representing a specific color.

Value

A vector containing the newly binned values. Generates three barplots displaying the worth of evidence (WoE), target rate and frequency across all bins. The bars are arranged in an ascending order of WoE.

Examples

mydata <- ISLR::Default
mydata$default <- ifelse(mydata$default=="Yes", 1, 0) ## target coded with 1, 0
WC_1 <- WOE_custom(dataset=mydata, var="balance", target = "default",
           breaks=seq(0,3000,1000))
levels(factor(WC_1))
WC_2 <- WOE_custom(dataset=mydata, var="income", target = "default",
             breaks=seq(0,75000, 15000))
levels(factor(WC_2))

Rprofet documentation built on April 1, 2020, 5:11 p.m.